领域核心知识个体网的生长演化研究

Research on Growth and Evolution of Ego Networks Based on Domain Core Knowledge

领域核心知识及其关联关系的研究是图书情报学领域中的重要内容,有助于把握学科领域内核心知识发展的模式与规律。将网络分析与时间序列分析相结合,基于关键词同现关系构建领域知识网络,提取领域核心知识个体网。从关联关系频度、个体网密度、个体网层级演化三个方面,对领域核心知识个体网进行时间序列分析。研究表明,个体网中的高频次关联主要发生在高度值的知识节点之间,邻居节点之间的关联并不紧密,大多数知识节点的网络层级会发生变化。

The study of domain core knowledge and its correlations is an important content in library and information science,which helps to grasp the patterns and rules of knowledge development in the subject area. Combining network analysis and time series analysis,the domain knowledge network is constructed based on the keyword co-occurrence relationship,and the core knowledge ego network is extracted. From the aspects of the frequency of correlation, the density of ego network,and the hierarchy evolvement of ego network,the time sequence analysis was performed on the core knowledge ego networks. The research shows that the high-frequency correlations in ego networks mainly occur between high degree knowledge nodes,and the neighbor nodes are not closely related,the hierarchy of most knowledge nodes will change.